{"id": 1025673, "name": "Number of attendees", "unit": "attendees", "createdAt": "2025-04-14T08:36:25.000Z", "updatedAt": "2025-04-14T08:36:25.000Z", "coverage": "", "timespan": "2010-2024", "datasetId": 7056, "shortUnit": "", "columnOrder": 0, "shortName": "attendees", "catalogPath": "grapher/artificial_intelligence/2025-04-08/ai_index/ai_conferences#attendees", "descriptionShort": "Thirteen major conferences are included.", "type": "int", "grapherConfigIdETL": "01963371-4dd4-7e7a-88b0-2a5424e953a6", "datasetName": "AI Index Report", "updatePeriodDays": 365, "datasetVersion": "2025-04-08", "nonRedistributable": false, "display": {"unit": "attendees", "numDecimalPlaces": 0}, "schemaVersion": 2, "processingLevel": "minor", "presentation": {"topicTagsLinks": ["Artificial Intelligence"]}, "descriptionKey": ["AI conferences serve as essential platforms for researchers to present their findings and network with peers and collaborators.", "Over the past two decades, these conferences have expanded in scale, quantity, and prestige.", "Attendance data should be interpreted with caution, as many conferences in recent years have adopted virtual or hybrid formats.", "Virtual conferences often attract larger and more global audiences, but exact attendance figures are harder to measure.", "The AI Index reports total attendance, including virtual, hybrid, and in-person participation, across conferences such as AAAI, NeurIPS, ICML, CVPR, EMNLP, ICLR, and others.", "The significant spike in ICML attendance in 2021 was likely due to the conference being held virtually that year."], "dimensions": {"years": {"values": [{"id": 2010}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 2024}]}, "entities": {"values": [{"id": 275764, "name": "AAAI", "code": null}, {"id": 275769, "name": "AAMAS", "code": null}, {"id": 275763, "name": "CVPR", "code": null}, {"id": 275757, "name": "EMNLP", "code": null}, {"id": 275758, "name": "FaccT", "code": null}, {"id": 275771, "name": "ICAPS", "code": null}, {"id": 275767, "name": "ICLR", "code": null}, {"id": 275762, "name": "ICML", "code": null}, {"id": 275766, "name": "ICRA", "code": null}, {"id": 275765, "name": "IJCAI", "code": null}, {"id": 275760, "name": "IROS", "code": null}, {"id": 275770, "name": "KR", "code": null}, {"id": 275761, "name": "NeurIPS", "code": null}, {"id": 34678, "name": "Total", "code": null}, {"id": 275759, "name": "UAI", "code": null}]}}, "origins": [{"id": 3375, "titleSnapshot": "AI Index Report - AI Conferences", "title": "AI Index Report", "descriptionSnapshot": "Data from AI Index Report on annual attendance of large conferences.", "description": "The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence (AI). The mission is to provide unbiased, rigorously vetted, broadly sourced data to enable policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI.", "producer": "AI Index Report", "citationFull": "Nestor Maslej, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Njenga Kariuki, Emily Capstick, Anka Reuel, Erik\nBrynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald,\nTobi Walsh, Armin Hamrah, Lapo Santarlasci, Julia Betts Lotufo, Alexandra Rome, Andrew Shi, Sukrut Oak. \u201cThe AI Index 2025\nAnnual Report,\u201d AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA, April 2025", "attributionShort": "AI Index Report", "urlMain": "https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf", "dateAccessed": "2025-04-08", "datePublished": "2025", "license": {"url": "https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf", "name": "CC BY-ND 4.0"}}]}